Communication-efficient distributed statistical inference MI Jordan, JD Lee, Y Yang Journal of the American Statistical Association, 2019 | 441 | 2019 |
Randomized sketches for kernels: Fast and optimal nonparametric regression Y Yang, M Pilanci, MJ Wainwright The Annals of Statistics 45 (3), 991-1023, 2017 | 213 | 2017 |
Bayesian regression tree ensembles that adapt to smoothness and sparsity AR Linero, Y Yang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2018 | 183 | 2018 |
On the computational complexity of high-dimensional Bayesian variable selection Y Yang, MJ Wainwright, MI Jordan The Annals of Statistics 44 (6), 2497-2532, 2016 | 177 | 2016 |
Bayesian fractional posteriors A Bhattacharya, D Pati, Y Yang The Annals of Statistics 47 (1), 39-66, 2019 | 138 | 2019 |
α-variational inference with statistical guarantees Y Yang, D Pati, A Bhattacharya The Annals of Statistics 48 (2), 886-905, 2020 | 118 | 2020 |
Minimax-optimal nonparametric regression in high dimensions Y Yang, ST Tokdar The Annals of Statistics 43 (2), 652-674, 2015 | 100 | 2015 |
Bayesian manifold regression Y Yang, DB Dunson The Annals of Statistics 44 (2), 876-905, 2016 | 95 | 2016 |
Bayesian conditional tensor factorizations for high-dimensional classification Y Yang, DB Dunson Journal of the American Statistical Association 111 (514), 656-669, 2016 | 87 | 2016 |
On statistical optimality of variational Bayes D Pati, A Bhattacharya, Y Yang International Conference on Artificial Intelligence and Statistics, 1579-1588, 2018 | 82 | 2018 |
Joint estimation of quantile planes over arbitrary predictor spaces Y Yang, ST Tokdar Journal of the American Statistical Association 112 (519), 1107-1120, 2017 | 65 | 2017 |
High-dimensional linear regression via implicit regularization P Zhao, Y Yang, QC He Biometrika 109 (4), 1033-1046, 2022 | 50* | 2022 |
Frequentist coverage and sup-norm convergence rate in Gaussian process regression Y Yang, A Bhattacharya, D Pati arXiv preprint arXiv:1708.04753, 2017 | 45 | 2017 |
Distributed estimation for principal component analysis: An enlarged eigenspace analysis X Chen, JD Lee, H Li, Y Yang Journal of the American Statistical Association 117 (540), 1775-1786, 2022 | 36 | 2022 |
Hanson–Wright inequality in Hilbert spaces with application to K-means clustering for non-Euclidean data X Chen, Y Yang Bernoulli 27 (1), 586-614, 2021 | 36 | 2021 |
Skyformer: Remodel self-attention with gaussian kernel and nystr\" om method Y Chen, Q Zeng, H Ji, Y Yang Advances in Neural Information Processing Systems 34, 2122-2135, 2021 | 35 | 2021 |
Bayesian crack detection in ultra high resolution multimodal images of paintings B Cornelis, Y Yang, JT Vogelstein, A Dooms, I Daubechies, D Dunson 2013 18th International Conference on Digital Signal Processing (DSP), 1-8, 2013 | 35 | 2013 |
Sequential markov chain monte carlo Y Yang, DB Dunson arXiv preprint arXiv:1308.3861, 2013 | 30 | 2013 |
Cutoff for exact recovery of gaussian mixture models X Chen, Y Yang IEEE Transactions on Information Theory 67 (6), 4223-4238, 2021 | 25 | 2021 |
Minimax optimal Bayesian aggregation Y Yang, DB Dunson arXiv preprint arXiv:1403.1345, 2014 | 22 | 2014 |